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Governed runtime execution, replay policy, and auditable non-determinism for the bijux-canon package family from Bijux.

Project description

bijux-canon-runtime

Python 3.11+ Typing: typed License: Apache-2.0 CI Status GitHub Repository

bijux-canon-runtime bijux-canon-agent bijux-canon-ingest bijux-canon-reason bijux-canon-index

agentic-flows bijux-agent bijux-rag bijux-rar bijux-vex

Runtime docs Agent docs Ingest docs Reason docs Index docs

bijux-canon-runtime is the package that decides whether and how a flow runs, what gets recorded about that run, and how a later replay should be judged. It is the authority layer for execution, replay, runtime persistence, and non-determinism governance.

If you need to understand plan versus run modes, replay acceptance, trace capture, execution-store behavior, or non-determinism policy enforcement, start here.

Legacy continuity

What this package owns

  • flow execution authority
  • replay and acceptability semantics
  • trace capture, runtime persistence, and execution-store behavior
  • package-local CLI and API boundaries

What this package does not own

  • agent composition policy
  • ingest or index domain ownership
  • repository tooling and release support

Source map

Read this next

Primary entrypoint

  • console script: bijux-canon-runtime

Changelog

All notable changes to bijux-canon-runtime are documented here.

Historical release entries below preserve the wording that shipped with the tagged release, including legacy distribution naming where applicable.

[0.3.0] - 2026-04-05

Added

  • Package-local documentation now explains execution authority, replay semantics, operator boundaries, API contract testing, and example datasets in clearer human-facing language.
  • Runtime now has focused package tests for command mapping, execution persistence, canonical package-version lookup, and identifier exports.

Changed

  • The package was realigned under the canonical bijux-canon-runtime identity, with runtime models, contracts, ontology, observability, interfaces, and API surfaces renamed around durable ownership.
  • Execution orchestration was decomposed into smaller modules for flow preparation, step execution, run recording, replay analysis, policy handling, and persistence support.
  • Runtime command handling, RunMode ownership, and non-determinism lifecycle plumbing were consolidated into clearer runtime-facing modules.
  • Planner behavior now uses normalized dependency ordering and canonical package version discovery for runtime metadata.
  • Flow preparation, execution recording, replay analysis, tool-event recording, verification arbitration, and persistence support were split into smaller modules so runtime behavior is easier to reason about and maintain.
  • PyPI metadata, search keywords, and project URLs now make the canonical runtime package easier to discover from package indexes and Bijux-owned docs.
  • The package README now uses PyPI-safe badge and link targets, and it points legacy agentic-flows users to the canonical migration path and retired repository guidance.
  • Package-local PyPI publication guidance is now checked in and shipped with the source distribution so runtime release expectations stay durable.
  • Source distributions now publish package-local ignore rules instead of a generic repo-level .gitignore.

Fixed

  • Duplicate dependency declarations are now rejected during planning.
  • Runtime metadata and tests now align with canonical package names and the bijux-cli 0.3.3 line.
  • Root package quality gates were repaired after the refactor series.
  • Replay and storage typing, readiness responses, and verification-policy override handling were tightened during the runtime refactor series.
  • Release artifacts now ship the repository LICENSE file so downstream consumers receive the license text with the published package.

[0.1.0] – 2025-01-21

Added

  • Core runtime
    • Deterministic execution lifecycle with planning, execution, and finalization phases.
    • Execution modes: plan, dry-run, live, observe, and unsafe.
    • Strict determinism guardrails with explicit seed and environment fingerprints.
  • Non-determinism governance
    • Declared non-determinism intent model and policy validation.
    • Entropy budgeting with enforcement, exhaustion semantics, and replay analysis.
    • Determinism profiles with structured replay metadata.
  • Replay and audit
    • Replay modes (strict/bounded/observational) and acceptability classifications.
    • Trace diffing, replay envelopes, and deterministic replay validation.
    • Observability capture for events, artifacts, evidence, and entropy usage.
  • Persistence
    • DuckDB execution store with schema contract enforcement and migrations.
    • Execution schema, replay envelopes, checkpoints, and trace storage.
  • CLI + API surface
    • CLI commands for planning, running, replaying, inspecting, and diffing runs.
    • OpenAPI schema for the HTTP surface with schema hash stability checks.
  • Policies and verification
    • Verification policy and arbitration plumbing for reasoning and evidence checks.
    • Failure taxonomy with deterministic error classes.
  • Docs and examples
    • Determinism/non-determinism contract docs and storage model guidance.
    • Examples for deterministic and replay behavior.
  • Quality gates
    • Makefile orchestration for tests, linting, docs, API checks, SBOM, and citation outputs.

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